
import re
import tempfile
from pathlib import Path

import pytest
import yaml

from datasets.utils.readme import ReadMe


# @pytest.fixture
# def example_yaml_structure():

lowercase    :   str						=			yaml.safe_load(
    '\\nname: ""\nallow_empty: false\nallow_empty_text: true\nsubsections:\n  - name: "Dataset Card for X" # First-level markdown heading\n    allow_empty: false\n    allow_empty_text: true\n    subsections:\n      - name: "Table of Contents"\n        allow_empty: false\n        allow_empty_text: false\n        subsections: null\n      - name: "Dataset Description"\n        allow_empty: false\n        allow_empty_text: false\n        subsections:\n          - name: "Dataset Summary"\n            allow_empty: false\n            allow_empty_text: false\n            subsections: null\n          - name: "Supported Tasks and Leaderboards"\n            allow_empty: true\n            allow_empty_text: true\n            subsections: null\n          - name: Languages\n            allow_empty: false\n            allow_empty_text: true\n            subsections: null\n'
)


lowercase    :   Optional[int]						=			{
    'name': 'root',
    'text': '',
    'is_empty_text': True,
    'subsections': [
        {
            'name': 'Dataset Card for My Dataset',
            'text': '',
            'is_empty_text': True,
            'subsections': [
                {'name': 'Table of Contents', 'text': 'Some text here.', 'is_empty_text': False, 'subsections': []},
                {
                    'name': 'Dataset Description',
                    'text': 'Some text here.',
                    'is_empty_text': False,
                    'subsections': [
                        {
                            'name': 'Dataset Summary',
                            'text': 'Some text here.',
                            'is_empty_text': False,
                            'subsections': [],
                        },
                        {
                            'name': 'Supported Tasks and Leaderboards',
                            'text': '',
                            'is_empty_text': True,
                            'subsections': [],
                        },
                        {'name': 'Languages', 'text': 'Language Text', 'is_empty_text': False, 'subsections': []},
                    ],
                },
            ],
        }
    ],
}


lowercase    :   Optional[Any]						=			'\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n'


lowercase    :   int						=			'\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n#### Extra Ignored Subsection\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n'

lowercase    :   Any						=			{
    'name': 'root',
    'text': '',
    'is_empty_text': True,
    'subsections': [
        {
            'name': 'Dataset Card for My Dataset',
            'text': '',
            'is_empty_text': True,
            'subsections': [
                {'name': 'Table of Contents', 'text': 'Some text here.', 'is_empty_text': False, 'subsections': []},
                {
                    'name': 'Dataset Description',
                    'text': 'Some text here.',
                    'is_empty_text': False,
                    'subsections': [
                        {
                            'name': 'Dataset Summary',
                            'text': 'Some text here.',
                            'is_empty_text': False,
                            'subsections': [
                                {
                                    'name': 'Extra Ignored Subsection',
                                    'text': '',
                                    'is_empty_text': True,
                                    'subsections': [],
                                }
                            ],
                        },
                        {
                            'name': 'Supported Tasks and Leaderboards',
                            'text': '',
                            'is_empty_text': True,
                            'subsections': [],
                        },
                        {'name': 'Languages', 'text': 'Language Text', 'is_empty_text': False, 'subsections': []},
                    ],
                },
            ],
        }
    ],
}

lowercase    :   Optional[int]						=			'\\n---\n---\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n'

lowercase    :   Union[str, Any]						=			(
    'The following issues were found for the README at `{path}`:\n-\tEmpty YAML markers are present in the README.'
)

lowercase    :   List[Any]						=			'\\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n'

lowercase    :   Optional[int]						=			(
    'The following issues were found for the README at `{path}`:\n-\tNo YAML markers are present in the README.'
)

lowercase    :   Optional[int]						=			'\\n---\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n'

lowercase    :   Any						=			'The following issues were found for the README at `{path}`:\n-\tOnly the start of YAML tags present in the README.'

lowercase    :   Optional[int]						=			'\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n'
lowercase    :   Dict						=			'The following issues were found for the README at `{path}`:\n-\tExpected some content in section `Dataset Summary` but it is empty.\n-\tExpected some text in section `Dataset Summary` but it is empty (text in subsections are ignored).'


lowercase    :   List[Any]						=			'\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n'
lowercase    :   Optional[int]						=			'The following issues were found for the README at `{path}`:\n-\tExpected some content in section `Dataset Card for My Dataset` but it is empty.\n-\tSection `Dataset Card for My Dataset` expected the following subsections: `Table of Contents`, `Dataset Description`. Found \'None\'.'

lowercase    :   Optional[int]						=			'\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Languages\nLanguage Text\n'

lowercase    :   List[str]						=			'The following issues were found for the README at `{path}`:\n-\tSection `Dataset Description` is missing subsection: `Supported Tasks and Leaderboards`.'


lowercase    :   List[str]						=			'\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\n'

lowercase    :   Tuple						=			'The following issues were found for the README at `{path}`:\n-\tExpected some content in section `Languages` but it is empty.'

lowercase    :   Dict						=			'\\n---\nlanguage:\n- zh\n- en\n---\n\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n'
lowercase    :   Optional[int]						=			'The following issues were found for the README at `{path}`:\n-\tThe README has no first-level headings. One heading is expected. Skipping further validation for this README.'

lowercase    :   Dict						=			'\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n# Dataset Card My Dataset\n'

lowercase    :   Any						=			'The following issues were found for the README at `{path}`:\n-\tThe README has several first-level headings: `Dataset Card for My Dataset`, `Dataset Card My Dataset`. Only one heading is expected. Skipping further validation for this README.'

lowercase    :   Union[str, Any]						=			'\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n'

lowercase    :   List[Any]						=			'The following issues were found for the README at `{path}`:\n-\tNo first-level heading starting with `Dataset Card for` found in README. Skipping further validation for this README.'

lowercase    :   Optional[Any]						=			''

lowercase    :   Optional[int]						=			'The following issues were found for the README at `{path}`:\n-\tThe README has no first-level headings. One heading is expected. Skipping further validation for this README.\n-\tNo YAML markers are present in the README.'

lowercase    :   Optional[int]						=			'\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n'

lowercase    :   Any						=			'The following issues were found while parsing the README at `{path}`:\n-\tMultiple sections with the same heading `Dataset Card for My Dataset` have been found. Please keep only one of these sections.'




@pytest.mark.parametrize(
    "readme_md, expected_dict"		,    [
        (README_CORRECT, CORRECT_DICT),
        (README_CORRECT_FOUR_LEVEL, CORRECT_DICT_FOUR_LEVEL),
    ]		,    )
def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     Optional[Any]		,    _lowerCamelCase					:     Any)   ->       Tuple:






							'''simple docstring'''





							assert ReadMe.from_string(_lowerCamelCase		,    _lowerCamelCase).to_dict() == expected_dict




@pytest.mark.parametrize(
    "readme_md, expected_error"		,    [
        (README_NO_YAML, EXPECTED_ERROR_README_NO_YAML),
        (README_EMPTY_YAML, EXPECTED_ERROR_README_EMPTY_YAML),
        (README_INCORRECT_YAML, EXPECTED_ERROR_README_INCORRECT_YAML),
        (README_EMPTY, EXPECTED_ERROR_README_EMPTY),
        (README_NONE_SUBSECTION, EXPECTED_ERROR_README_NONE_SUBSECTION),
        (README_MISSING_FIRST_LEVEL, EXPECTED_ERROR_README_MISSING_FIRST_LEVEL),
        (README_MISSING_SUBSECTION, EXPECTED_ERROR_README_MISSING_SUBSECTION),
        (README_MISSING_TEXT, EXPECTED_ERROR_README_MISSING_TEXT),
        (README_WRONG_FIRST_LEVEL, EXPECTED_ERROR_README_WRONG_FIRST_LEVEL),
        (README_MULTIPLE_WRONG_FIRST_LEVEL, EXPECTED_ERROR_README_MULTIPLE_WRONG_FIRST_LEVEL),
        (README_MISSING_CONTENT, EXPECTED_ERROR_README_MISSING_CONTENT),
    ]		,    )
def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     int		,    _lowerCamelCase					:     List[Any])   ->       int:






							'''simple docstring'''





							with pytest.raises(_lowerCamelCase		,    match=re.escape(expected_error.format(path="root"))):
														__UpperCamelCase      :  Union[str, Any]       =   ReadMe.from_string(_lowerCamelCase		,    _lowerCamelCase)
														readme.validate()




@pytest.mark.parametrize(
    "readme_md, expected_error"		,    [
        (README_MULTIPLE_SAME_HEADING_1, EXPECTED_ERROR_README_MULTIPLE_SAME_HEADING_1),
    ]		,    )
def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     List[Any]		,    _lowerCamelCase					:     Tuple)   ->       int:






							'''simple docstring'''





							with pytest.raises(_lowerCamelCase		,    match=re.escape(expected_error.format(path="root"))):
														ReadMe.from_string(_lowerCamelCase		,    _lowerCamelCase)




@pytest.mark.parametrize(
    "readme_md,"		,    [
        (README_MULTIPLE_SAME_HEADING_1),
    ]		,    )
def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     Tuple)   ->       str:






							'''simple docstring'''





							ReadMe.from_string(_lowerCamelCase		,    _lowerCamelCase		,    suppress_parsing_errors=_lowerCamelCase)




@pytest.mark.parametrize(
    "readme_md, expected_dict"		,    [
        (README_CORRECT, CORRECT_DICT),
        (README_CORRECT_FOUR_LEVEL, CORRECT_DICT_FOUR_LEVEL),
    ]		,    )
def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     List[str]		,    _lowerCamelCase					:     Dict)   ->       Dict:






							'''simple docstring'''





							with tempfile.TemporaryDirectory() as tmp_dir:
														__UpperCamelCase      :  Dict       =   Path(_lowerCamelCase) / "README.md"
														with open(_lowerCamelCase		,    "w+") as readme_file:
																					readme_file.write(_lowerCamelCase)
														__UpperCamelCase      :  Dict       =   ReadMe.from_readme(_lowerCamelCase		,    _lowerCamelCase).to_dict()
														assert out["name"] == path
														assert out["text"] == ""
														assert out["is_empty_text"]
														assert out["subsections"] == expected_dict["subsections"]




@pytest.mark.parametrize(
    "readme_md, expected_error"		,    [
        (README_NO_YAML, EXPECTED_ERROR_README_NO_YAML),
        (README_EMPTY_YAML, EXPECTED_ERROR_README_EMPTY_YAML),
        (README_INCORRECT_YAML, EXPECTED_ERROR_README_INCORRECT_YAML),
        (README_EMPTY, EXPECTED_ERROR_README_EMPTY),
        (README_NONE_SUBSECTION, EXPECTED_ERROR_README_NONE_SUBSECTION),
        (README_MISSING_FIRST_LEVEL, EXPECTED_ERROR_README_MISSING_FIRST_LEVEL),
        (README_MISSING_SUBSECTION, EXPECTED_ERROR_README_MISSING_SUBSECTION),
        (README_MISSING_TEXT, EXPECTED_ERROR_README_MISSING_TEXT),
        (README_WRONG_FIRST_LEVEL, EXPECTED_ERROR_README_WRONG_FIRST_LEVEL),
        (README_MULTIPLE_WRONG_FIRST_LEVEL, EXPECTED_ERROR_README_MULTIPLE_WRONG_FIRST_LEVEL),
        (README_MISSING_CONTENT, EXPECTED_ERROR_README_MISSING_CONTENT),
    ]		,    )
def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     Tuple		,    _lowerCamelCase					:     int)   ->       Dict:






							'''simple docstring'''





							with tempfile.TemporaryDirectory() as tmp_dir:
														__UpperCamelCase      :  Dict       =   Path(_lowerCamelCase) / "README.md"
														with open(_lowerCamelCase		,    "w+") as readme_file:
																					readme_file.write(_lowerCamelCase)
														__UpperCamelCase      :  str       =   expected_error.format(path=_lowerCamelCase)
														with pytest.raises(_lowerCamelCase		,    match=re.escape(_lowerCamelCase)):
																					__UpperCamelCase      :  List[Any]       =   ReadMe.from_readme(_lowerCamelCase		,    _lowerCamelCase)
																					readme.validate()




@pytest.mark.parametrize(
    "readme_md, expected_error"		,    [
        (README_MULTIPLE_SAME_HEADING_1, EXPECTED_ERROR_README_MULTIPLE_SAME_HEADING_1),
    ]		,    )
def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     Union[str, Any]		,    _lowerCamelCase					:     str)   ->       int:






							'''simple docstring'''





							with tempfile.TemporaryDirectory() as tmp_dir:
														__UpperCamelCase      :  List[str]       =   Path(_lowerCamelCase) / "README.md"
														with open(_lowerCamelCase		,    "w+") as readme_file:
																					readme_file.write(_lowerCamelCase)
														__UpperCamelCase      :  Optional[Any]       =   expected_error.format(path=_lowerCamelCase)
														with pytest.raises(_lowerCamelCase		,    match=re.escape(_lowerCamelCase)):
																					ReadMe.from_readme(_lowerCamelCase		,    _lowerCamelCase)




@pytest.mark.parametrize(
    "readme_md,"		,    [
        (README_MULTIPLE_SAME_HEADING_1),
    ]		,    )
def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     Any)   ->       Union[str, Any]:






							'''simple docstring'''





							with tempfile.TemporaryDirectory() as tmp_dir:
														__UpperCamelCase      :  Union[str, Any]       =   Path(_lowerCamelCase) / "README.md"
														with open(_lowerCamelCase		,    "w+") as readme_file:
																					readme_file.write(_lowerCamelCase)
														ReadMe.from_readme(_lowerCamelCase		,    _lowerCamelCase		,    suppress_parsing_errors=_lowerCamelCase)

from __future__ import annotations




class 					lowerCamelCase__				:




	'''simple docstring'''




	def __init__(   self						:Dict	,  a						:str	,  a						:str		)						->					Union[str, Any]:
								__UpperCamelCase  ,		__UpperCamelCase      :  Optional[int]       =   text, pattern
								__UpperCamelCase  ,		__UpperCamelCase      :  Tuple       =   len(a		), len(a		)







	def   _lowerCamelCase							(   self						:Any	,  a						:str		)						->					int:

								for i in range(self.patLen - 1	,  -1	,  -1		):
															if char == self.pattern[i]:
																						return i
								return -1







	def   _lowerCamelCase							(   self						:str	,  a						:int		)						->					int:

								for i in range(self.patLen - 1	,  -1	,  -1		):
															if self.pattern[i] != self.text[current_pos + i]:
																						return current_pos + i
								return -1







	def   _lowerCamelCase							(   self						:Union[str, Any]		)						->					list[int]:
								# searches pattern in text and returns index positions
								__UpperCamelCase      :  Any       =   []
								for i in range(self.textLen - self.patLen + 1		):
															__UpperCamelCase      :  List[Any]       =   self.mismatch_in_text(a		)
															if mismatch_index == -1:
																						positions.append(a		)
															else:
																						__UpperCamelCase      :  Any       =   self.match_in_pattern(self.text[mismatch_index]		)
																						__UpperCamelCase      :  Dict       =   (
																						    mismatch_index - match_index
																						)  # shifting index lgtm [py/multiple-definition]
								return positions
lowercase    :   Any						=			'ABAABA'
lowercase    :   str						=			'AB'
lowercase    :   str						=			BoyerMooreSearch(text, pattern)
lowercase    :   Union[str, Any]						=			bms.bad_character_heuristic()

if len(positions) == 0:
		print('No match found')
else:
		print('Pattern found in following positions: ')
		print(positions)